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褐飞虱稳定增长初期种群空间格局及抽样技术的研究
引用本文:綦立正,黄方能,程遐年,丁宗泽. 褐飞虱稳定增长初期种群空间格局及抽样技术的研究[J]. 中国水稻科学, 1988, 2(3): 117-122
作者姓名:綦立正  黄方能  程遐年  丁宗泽
作者单位:南京农业大学植保系 南京(綦立正,黄方能,程遐年),江苏省太湖地区农科所 望亭(丁宗泽)
摘    要: 褐飞虱Nilaparvata lugens (st(?)l)种群稳定增长初期(8月初)田间成、若虫拟合为负二项分布,卵为截尾负二项分布。由此导出理论抽样数模式。成、若虫为n=(1/D~2)[(1/(?))+1/2.3854]或n=(t/D)~2(1/(?)+1/2.3854)。卵为n=(9.1777/D~2·(?))[1-P(1)]或n=(t/D)~2·(9.1777/(?))[1-P(1)]。应用改进的(?)回归法,求得成、若虫的理论抽样数模式为n=(1/D~2)[(7.4820/(?))+0.11(?)-1.322]或n=(t/D)~2·[(7.4820/(?))+0.11(?)-1.322)。应用Taylor指数法得到理论抽样数模式为n=0.9932/D~2)·(?)~(-0.26854)或n=(t/D)~2·0.9932(?)~(-0.26856)

关 键 词:褐飞虱  种群  空间分布型
收稿时间:1900-01-01;

Studies on the Spatial Patterns and Sampling Techniques of the Population of Brown Planthopper in the Initial Stable-increasing Stage
Qi Lizeng,Huang Fangneng,Cheng Xianian. Studies on the Spatial Patterns and Sampling Techniques of the Population of Brown Planthopper in the Initial Stable-increasing Stage[J]. Chinese Journal of Rice Science, 1988, 2(3): 117-122
Authors:Qi Lizeng  Huang Fangneng  Cheng Xianian
Abstract:The distribution of nymph-adult population of brown plant hopper (Nilaparvata lugens) in the initial stable-increasing stage fits negative binomial distribution, and egg population fits truncated negative binomial distribution (TNBD). Theoretical sampling sizes models were obtained: For nymph-adult population,n=(1/D2) (1/(x)+1/2. 3584) or n=t/D2 (1/(x) + 1/2. 3584), n= theoretical sampling sizes, (x)=average of sample, D= allowable error, t=the value of t-distribution. For egg population, n=9.1777/(D2(x)) [1-P(1)] or n=(t/D)2*(9.1777(x)) [1-P(1)], n=theoretical sampling sizes without zero, x=average of sampling without zero, P(I) frequency of one in the samples without zero. Theoretical sampling sizes models of nymph-adult population were obtained accordingtothe improving of IWAO's (M)—M model and Taylor's power law as following: n=1/D2(7.4820/(?)+0.11(?)-1.322)or n=t/D2(7.4820/(x)+0.11(x)-1.322)andn=0.9932/D2 ·(x)0.26854 or n=t/D2. 0.9932(x)0.26854.
Keywords:Brown planthopper  Population  Spatial pattern  Sampling technique
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